• Title/Summary/Keyword: modeling action

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Applicability Evaluation of One- and Two-dimensional Flood Inundation Analysis Models to Establish an Emergency Action Plan for Agricultural Reservoirs (농업용저수지 EAP 수립을 위한 1·2차원 홍수범람해석모형의 적용성 평가)

  • Lee, Dae Eop;Kim, Jae Young;Lee, Gi Ha;Jung, Sung Ho;Yeon, Min Ho
    • Proceedings of the Korea Water Resources Association Conference
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    • 2021.06a
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    • pp.351-351
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    • 2021
  • 저수지에 대한 비상대처계획수립은 최근 기상이변 등에 따른 대규모 호우가 빈번히 발생하고 있을 뿐만 아니라 세계 도처에서 대규모 지진 등으로 많은 인명과 재산 피해가 속출함에 따라 지진 및 이상홍수에 대한 저수지의 안정성 평가를 수행하고 저수지 지점에서 발생할 수 있는 천재지변 또는 예상치 못한 대규모 재해에 효율적으로 대처하기 위한 비상상황의 등급 및 위험수준을 체계적으로 판단하고 비상상황 가상 시나리오별 체계적 행동요령 및 대처계획을 수립하여 저수지 붕괴에 따른 대규모 홍수피해 예상지역 주민들의 신속한 대응으로 생명과 재산피해를 최소화하는데 목적이 있다. 현행 한국농어촌공사 및 지자체에서 수립하고 있는 30만 톤 이상 저수지에 대한 1차원 모형 기반의 EAP수립은 침수구역을 산정할 때 수치지도에 의한 단일 침수심 분석으로 실제 침수구역과는 많은 오류가 나타난다. 이는 침수구역 부정확에 따른 피해복구액 산정이 과다로 책정될 수 있고, 마지막으로 가장 중요한 비상대처계획 수립에 막대한 영향을 미친다. 이에 본 연구는 댐 붕괴에 대응하기 위한 EAP 수립 시 기본이 되는 홍수범람해석을 수행하고 1차원 및 2차원 모형의 결과검토를 통해 보다 효과적인 비상대처계획의 수립을 위한 방안을 제시하고자 하였다. 이를 위해 경천저수지 유역을 대상으로 가능최대강수량 조건 하에서 가능최대홍수량을 산정하고 DAMBRK 모형을 이용하여 댐 붕괴 모의를 위한 시나리오 구성 및 모의를 수행하였다. 이후 댐 붕괴 모의결과를 이용하여 WMS(Watershed Modeling System) 모형을 이용한 1차원 홍수범람해석과 FLUMEN(FLUvial Modeling ENgine) 모형을 이용한 2차원 홍수범람해석에 적용 후 각 결과를 비교·검토하였다.

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Text Network Analysis and Topic Modeling of News Articles on Lonely Death (고독사에 관한 언론보도기사의 텍스트네트워크 분석 및 토픽모델링)

  • Kim, Chunmi;Choi, Seungbeom;Kim, Eun Man
    • Journal of Korean Academy of Rural Health Nursing
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    • v.18 no.2
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    • pp.113-124
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    • 2023
  • Purpose: The number of households vulnerable to isolation increases rapidly as social ties decrease, raising concerns about the associated increase in lonely deaths. This study aimed to identify issues related to lonely deaths by analyzing South Korean news articles; and to provide evidence for their use in preventing and managing lonely deaths via community nursing. Methods: This exploratory study analyzed the structure and trends of meaning of lonely deaths by identifying the association between keywords in news articles and lonely deaths. In this study, we searched for all news articles on lonely deaths, covering the period from January 1, 2010, to May 31, 2023. Data preprocessing and purification were conducted, followed by top-keyword extraction, keyword network analysis and topic modeling. The retrieved articles were analyzed using R and Python software. Results: Four main topics were identified: "discovering and responding to lonely death cases", "lonely deaths ending in lonely funerals", "supportive policies to prevent lonely deaths among of older adults", and "local government activities to prevent lonely deaths and support vulnerable populations." Conclusion: Based on these findings, it can be concluded that lonely death is a complex social phenomenon that can be prevented if society shows concern and care. Education related to lonely deaths should be included in nursing curricula for concrete action plans and professional development.

Ginsenoside F2 Restrains Hepatic Steatosis and Inflammation by Altering the Binding Affinity of Liver X Receptor Coregulators

  • Kyurae Kim;Myung-Ho Kim;Ji In Kang;Jong-In Baek;Byeong-Min Jeon;Ho Min Kim;Sun-Chang Kim;Won-Il Jeong
    • Journal of Ginseng Research
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    • v.48 no.1
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    • pp.89-97
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    • 2024
  • Background: Ginsenoside F2 (GF2), the protopanaxadiol-type constituent in Panax ginseng, has been reported to attenuate metabolic dysfunction-associated steatotic liver disease (MASLD). However, the mechanism of action is not fully understood. Here, this study investigates the molecular mechanism by which GF2 regulates MASLD progression through liver X receptor (LXR). Methods: To demonstrate the effect of GF2 on LXR activity, computational modeling of protein-ligand binding, Time-resolved fluorescence resonance energy transfer (TR-FRET) assay for LXR cofactor recruitment, and luciferase reporter assay were performed. LXR agonist T0901317 was used for LXR activation in hepatocytes and macrophages. MASLD was induced by high-fat diet (HFD) feeding with or without GF2 administration in WT and LXRα-/- mice. Results: Computational modeling showed that GF2 had a high affinity with LXRα. LXRE-luciferase reporter assay with amino acid substitution at the predicted ligand binding site revealed that the S264 residue of LXRα was the crucial interaction site of GF2. TR-FRET assay demonstrated that GF2 suppressed LXRα activity by favoring the binding of corepressors to LXRα while inhibiting the accessibility of coactivators. In vitro, GF2 treatments reduced T0901317-induced fat accumulation and pro-inflammatory cytokine expression in hepatocytes and macrophages, respectively. Consistently, GF2 administration ameliorated hepatic steatohepatitis and improved glucose or insulin tolerance in WT but not in LXRα-/- mice. Conclusion: GF2 alters the binding affinities of LXRα coregulators, thereby interrupting hepatic steatosis and inflammation in macrophages. Therefore, we propose that GF2 might be a potential therapeutic agent for the intervention in patients with MASLD.

A Text Mining Study on Endangered Wildlife Complaints - Discovery of Key Issues through LDA Topic Modeling and Network Analysis - (멸종위기 야생생물 민원 텍스트 마이닝 연구 - LDA 토픽 모델링과 네트워크 분석을 통한 주요 이슈 발굴 -)

  • Kim, Na-Yeong;Nam, Hee-Jung;Park, Yong-Su
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.26 no.6
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    • pp.205-220
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    • 2023
  • This study aimed to analyze the needs and interests of the public on endangered wildlife using complaint big data. We collected 1,203 complaints and their corresponding text data on endangered wildlife, pre-processed them, and constructed a document-term matrix for 1,739 text data. We performed LDA (Latent Dirichlet Allocation) topic modeling and network analysis. The results revealed that the complaints on endangered wildlife peaked in June-August, and the interest shifted from insects to various endangered wildlife in the living area, such as mammals, birds, and amphibians. In addition, the complaints on endangered wildlife could be categorized into 8 topics and 5 clusters, such as discovery report, habitat protection and response request, information inquiry, investigation and action request, and consultation request. The co-occurrence network analysis for each topic showed that the keywords reflecting the call center reporting procedure, such as photo, send, and take, had high centrality in common, and other keywords such as dung beetle, know, absence and think played an important role in the network. Through this analysis, we identified the main keywords and their relationships within each topic and derived the main issues for each topic. This study confirmed the increasing and diversifying public interest and complaints on endangered wildlife and highlighted the need for professional response. We also suggested developing and extending participatory conservation plans that align with the public's preferences and demands. This study demonstrated the feasibility of using complaint big data on endangered wildlife and its implications for policy decision-making and public promotion on endangered wildlife.

Crisis Communication on Social Media during COVID-19 Pandemic: An Analysis of Facebook and YouTube (코로나19 상황에서의 소셜미디어를 활용한 위기 커뮤니케이션: 주요국의 페이스북 및 유튜브 활용 비교)

  • Kim, Sohui;Kim, Dongyeon;Ryu, Min Ho
    • Journal of Korea Society of Industrial Information Systems
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    • v.26 no.6
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    • pp.47-60
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    • 2021
  • Since the outbreak of COVID-19 in 2019, the pandemic has been prolonged. This study compares and analyzes the degree of social media usage, the information type of posts (infectious disease information, promote action, psychological communication), and the level of user engagement in conducting crisis communication by country. We conduct text analysis by collecting information on Facebook and YouTube posts from January 2020 to March 2021 of disease control and prevention agencies in Korea, US, UK, and EU. As a result, the use of social media in Korea and US is higher than of the UK and EU, and all four countries are using social media as a means to provide infectious disease information and to promote action. Although social media can be a means to reach the public psychologically, such as sympathy and respect, there are no posts of psychological communication type on social media in countries other than the US. User engagement with posts is highest in the promotion action type. This study can help define the importance and role of social media in establishing an infectious disease crisis communication strategy.

Design of Parallel Input Pattern and Synchronization Method for Multimodal Interaction (멀티모달 인터랙션을 위한 사용자 병렬 모달리티 입력방식 및 입력 동기화 방법 설계)

  • Im, Mi-Jeong;Park, Beom
    • Journal of the Ergonomics Society of Korea
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    • v.25 no.2
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    • pp.135-146
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    • 2006
  • Multimodal interfaces are recognition-based technologies that interpret and encode hand gestures, eye-gaze, movement pattern, speech, physical location and other natural human behaviors. Modality is the type of communication channel used for interaction. It also covers the way an idea is expressed or perceived, or the manner in which an action is performed. Multimodal Interfaces are the technologies that constitute multimodal interaction processes which occur consciously or unconsciously while communicating between human and computer. So input/output forms of multimodal interfaces assume different aspects from existing ones. Moreover, different people show different cognitive styles and individual preferences play a role in the selection of one input mode over another. Therefore to develop an effective design of multimodal user interfaces, input/output structure need to be formulated through the research of human cognition. This paper analyzes the characteristics of each human modality and suggests combination types of modalities, dual-coding for formulating multimodal interaction. Then it designs multimodal language and input synchronization method according to the granularity of input synchronization. To effectively guide the development of next-generation multimodal interfaces, substantially cognitive modeling will be needed to understand the temporal and semantic relations between different modalities, their joint functionality, and their overall potential for supporting computation in different forms. This paper is expected that it can show multimodal interface designers how to organize and integrate human input modalities while interacting with multimodal interfaces.

Shock Tube and Modeling Study of Ethanol Ignition (에탄올 점화 과정에 관한 충격관 실험 및 모델 연구)

  • Shin, Kuan-Soo;Park, Ki-Soo;Gwon, Eun-Sook
    • Journal of the Korean Chemical Society
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    • v.48 no.1
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    • pp.12-16
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    • 2004
  • The ignition of ethanol-oxygen-argon mixture was studied in reflected shock waves over the temperature range of 1281-1625 K and the pressure range of 0.69-1.06 bar. The ignition delay time was measured by the sudden increase of pressure profile and the radiation emitted by OH radicals. The relationship between the ignition delay time and the concentrations of ethanol and oxygen was determined in the form of mass-action expressions with an Arrhenius temperature dependence. In contrast to the behavior observed in methanol, ethanol acts to inhibit rather than accelerate its own ignition. Several kinetic mechanisms proposed for ethanol oxidation at high temperatures have been tested by the computer simulation.

Multimedia Information and Authoring for Personalized Media Networks

  • Choi, Insook;Bargar, Robin
    • Journal of Multimedia Information System
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    • v.4 no.3
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    • pp.123-144
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    • 2017
  • Personalized media includes user-targeted and user-generated content (UGC) exchanged through social media and interactive applications. The increased consumption of UGC presents challenges and opportunities to multimedia information systems. We work towards modeling a deep structure for content networks. To gain insights, a hybrid practice with Media Framework (MF) is presented for network creation of personalized media, which leverages the authoring methodology with user-generated semantics. The system's vertical integration allows users to audition their personalized media networks in the context of a global system network. A navigation scheme with dynamic GUI shifts the interaction paradigm for content query and sharing. MF adopts a multimodal architecture anticipating emerging use cases and genres. To model diversification of platforms, information processing is robust across multiple technology configurations. Physical and virtual networks are integrated with distributed services and transactions, IoT, and semantic networks representing media content. MF applies spatiotemporal and semantic signal processing to differentiate action responsiveness and information responsiveness. The extension of multimedia information processing into authoring enables generating interactive and impermanent media on computationally enabled devices. The outcome of this integrated approach with presented methodologies demonstrates a paradigmatic shift of the concept of UGC as personalized media network, which is dynamical and evolvable.

Structural Equation Modeling on Smoking Cessation Intention in Male Technical High School Students (특성화고등학교 남학생의 금연의도 구조모형)

  • Do, Eun Su;Choi, Eunsuk
    • Journal of Korean Academy of Nursing
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    • v.47 no.2
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    • pp.211-221
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    • 2017
  • Purpose: This study was done to develop and test a structural model on smoking cessation intention in technical high school men. The conceptual model was based on the theory of reasoned action and health promotion model. Methods: From May 29 to April 13, 2015, 413 technical high school students who smoked completed a structured questionnaire. Data were analyzed to calculate the direct and indirect effects of factors affecting smoking cessation intention. The SPSS WIN 20.0 and AMOS 21.0 programs were used. Results: The hypothetical model was a good fit for the data. The model fit indices were $x^2/df=2.36$, GFI=.95, AGFI=.92, NFI=0.97, and RMSEA=.05. Self-esteem had direct and indirect effects on smoking cessation intention. Attitude, subjective norm, and self-efficacy had direct effects on smoking cessation intention. Smoking knowledge and environmental factor had indirect effects on smoking cessation intention. This model explained 87.0% of the variance in smoking cessation intention. Conclusion: These results indicate that technical high school students' intention to stop smoking can be improved through an increase in self-esteem, negative environmental factors, attitude toward smoking cessation, subjective norm about smoking cessation, and self-efficacy for smoking cessation.

Consumer Ethics and Fashion Corporate Social Responsibility -Attributions of Fashion CSR Motives and Perceptions-

  • Ahn, Soo-kyoung
    • Journal of Fashion Business
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    • v.20 no.6
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    • pp.1-18
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    • 2016
  • This study examines the impact of consumer ethics on the CSR motive attributions and, the subsequent consumer perception of the firm's ethicality. Data of 512 adults were collected nationwide using a self-administered questionnaire online. Exploratory and confirmative factor analysis were employed to identify six underlying dimensions of consumer ethics, as follows: actively benefiting from illegal actions, passively benefiting from illegal actions, no harm/no foul, economic benefiting from illegal actions, intellectual property infringement, and pro-environmental behavior. In order to examine the relationships between consumer ethics, CSR motive attribution, and consumer perceived ethicality, a structural equation modeling test was conducted. The results demonstrated that actively benefiting from illegal actions, economic benefiting from illegal action, and pro-environmental behavior had impacts on CSR motive attributions such as strategy-driven attribution, value-driven attribution, and stakeholder-driven attribution. Consequently, strategy-driven attribution and value-driven attribution influenced the consumer perception of the firm's ethicality, whereas stakeholder-driven attribution did not. This study provides an understanding of the CSR attribution mechanism from the view of consumer ethics that are multi-dimensional. The ethical judgements on different types of consumer behavior lead to attributions of CSR motives and subsequently their perception of a firm's ethicality.